Yonghyun Kim
This case study describes how the team migrated the Always service (1.5M DAU, 3M MAU) from EC2 to Amazon EKS in ~2 months with zero downtime, using a GitOps Bridge, gradual traffic cutover with Route53 weighted routing, and Helm + ArgoCD workflows.
Thibault JAMET
This case study describes how a team migrated 30+ Kubernetes clusters from Sceptre/CDK/CloudFormation to Terraform, using iterative waves, custom import tooling, and CI-driven validation to minimize risk.
Konstantin Shilovskiy
This case study shows how to build architecture for scalable ML pipeline on Azure using Kubernetes and KEDA to generate inputs with 500 pods and deploy models via Azure ML.
Amos Wenger
A simple server migration from x86 to ARM64 spiraled into a full Kubernetes debugging saga.
That familiar 'this should be simple' turning into 'why am I debugging IPv6 routing at 4 AM?' experience.
Igor Yermakov
This case study shows how to reduce monthly Azure costs from €25k to €8k through Kubernetes and virtual machine optimization.
It covers writing a custom Go operator to scale deployments to zero replicas based on outbound call queue length.
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More Case Studies
Gowtham Sai
In this case study, you'll learn why Go services in Kubernetes can experience latency issues when GOMAXPROCS defaults don't match actual CPU allocations, and how to prevent these problems through explicit configuration and metric monitoring.
Rotem Maayan
In this case study, you will learn how to reduce cross-AZ traffic costs in EKS by creating zone-specific deployments with HPA, using Istio DestinationRule for locality load balancing, and KEDA for predictive pod scaling across zones.
Ryan Gough
This article documents how JYSK engineered a production-grade, distributed bandwidth monitoring system using Kubernetes, Talos Linux, Grafana, iperf3, and Go.
Reza Kara
This case study shows how to fix overlapping Pod and Service CIDRs in Cilium-managed EKS clusters by updating the ConfigMap and draining nodes.
bitbucket90
This case study shows how to migrate a global pub/sub system to EKS when standard tools fail at scale.
It covers building custom solutions like a C++ IPAM system and how anti-patterns can become best practices.
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